Cask

Cask provides the first unified integration platform for Hadoop and Apache Spark. In practice that means publishing, securing and monitoring APIs.

The natural audience is platform and developer teams. Alongside the main category they mention Analytics, Big Data, Developer APIs and Open Source. As a small product team themselves (11 to 50 people), they tend to serve customers of a similar scale best. You will probably talk to the people who build it, which is great until you need 24/7 support.

Cask is based in Palo Alto, California and founded in 2011. You can read more at cdap.io.

Before you commit, look at gateway features, documentation tooling, and rate limiting. Get the renewal terms in writing before the first invoice.

If you have worked with Cask, tell the next buyer what you paid and what surprised you. That is the part of this page we cannot write.